Implement algorithmic trading strats on Interactive Broker's platform

Algorithmic Trading

Interactive Broker API

Quantitative Finance

Advanced Python Concepts

Interactive Broker Account

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Intermediate level familiarity with finance/trading

Design and deploy trading strats on Interactive Broker's platform. Automate every step of your strategy including, extracting data (stock data and fundamental data), perfog technical/fundamental analysis, generating signals, placing trades, risk management etc. Gain a thorough understanding of native interactive broker's API.

You can expect to gain the following skills from this course

API trading

Advanced python concepts (OOP concepts, multi-threading etc.)

Extracting historical data

Extracting fundamental data

Harnessing streaming tick level data

Incorporating technical indicators using python

End to End strategy design and deployment

Handling asynchronous calls

Sqlite database management

Interactive Broker's TWS teal

Relevant account settings in IB

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Important note - Course prerequisites:

Please note that this course requires basic python proficiency. At the minimum, you should be comfortable with:

basic python data types and format

basic python data structures such as list, dictionary, tuple etc.

how to create python functions

how to implement loops in python

installing and importing libraries

Basic python proficiency is mandatory because Interactive Broker API's python client uses advanced OOP and asynchronous programming concepts. While, I have devoted an entire section explaining these concepts, students with no python knowledge will really struggle to follow along.

Traders looking to automate their strats on Interactive Broker's platform

Anyone interested in Algorithmic trading



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